The interview process was thorough and consisted of 5 rounds. The first round was a phone interview with one of the HR. The HR representative wanted to understand my resume, background, and previous work experiences to determine if they aligned with the team's needs at Fidelity. In the second round, I was interviewed directly with the VP, who was hiring for his team. This was a scenario-based interview where he presented a specific storyline and asked me to find a solution and understand my thought process. This round was designed to assess my problem-solving skills and thought process in a given scenario. The third round was a technical interview with a Senior Data Scientist, who would be my peer if I were hired. This round focused on machine learning, deep learning, and statistics. It was a verbal interview with approximately ten questions. I was asked follow up questions in most of the questions to explore the depth of my understanding of any technical concept. Next was a live coding interview with a director on the team. This round included around 15–18 multiple-choice Python questions, two data structures and algorithms (DSA) questions, and a few SQL questions. The entire live coding session lasted about an hour. The final round was with the head of HR. This round aimed to understand my motivations for wanting to join Fidelity and to assess how well I would fit into the company's culture and the team.